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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/12/13 07:50:10 UTC
[GitHub] TaoLv commented on issue #13634: Slow CPU inference in Gluon GRU
module
TaoLv commented on issue #13634: Slow CPU inference in Gluon GRU module
URL: https://github.com/apache/incubator-mxnet/issues/13634#issuecomment-446873627
I think Gluon GRU is calling unfused RNN cells which contain stacked fully connected and activation operators. But ndarray.RNN is calling a fused implementation. So for me the performance is as expectation.
@marekjg Have you ever compared the result of two implementation?
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